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Finite Gibbs free-energy and entropy optimization

Statement

Let H=H∗ act on a finite-dimensional complex Hilbert space of dimension d≥1, β>0, kB>0, T=(kBβ)−1, and Z=Tr⁡(e−βH). Put σ=e−βH/Z, Fβ=−β−1log⁡Z, and S(ρ)=−kBTr⁡(ρlog⁡ρ), with 0log⁡0=0. Then every density matrix ρ, including rank-deficient matrices, satisfies Tr⁡(ρH)−TS(ρ)≥Fβ, with equality if and only if ρ=σ. Moreover S(σ)=kB(log⁡Z+βTr⁡(σH)), so Fβ=Tr⁡(σH)−TS(σ). This is finite-dimensional mathematical optimization; actual preparation is a separate postulate.

Facts & Assumptions

Given: A finite-dimensional Hermitian H, β>0, kB>0, a density matrix ρ, and natural logarithms.

[A1]

H is the mathematical energy matrix and T=(kBβ)−1>0 is a parameter; when SI units are used, β is J−1, H is in J, and kB is J/K.

[F1]

Finite matrix spectral and state calculus: finite Hermitian matrices have real eigenvalues and a basis-independent trace.

[F2]

Quantum spectral entropy and relative-entropy domains: D(ρ∥σ)=Tr⁡(ρlog⁡ρ)−Tr⁡(ρlog⁡σ) on support inclusion.

Proof

1.1givenF1algebra

By [F1], write H=∑jEj∣vj⟩⟨vj∣ with real Ej. Then e−βH has strictly positive eigenvalues e−βEj, so Z=∑je−βEj>0, σ is faithful, and log⁡σ=−βH−(log⁡Z)I.

2.1step 1.1F2algebra

By [F2] and step 1.1, D(ρ∥σ)=Tr⁡(ρlog⁡ρ)+βTr⁡(ρH)+log⁡Z=β(Tr⁡(ρH)−TS(ρ)−Fβ). All terms are finite because the dimension is finite and σ is faithful.

3.1step 2.1F2algebra

For the inequality and its equality case, diagonalize ρ=∑iwi∣ui⟩⟨ui∣ on its support and let qj=e−βEj/Z>0 be the eigenvalues of σ in the vj basis. Set ri=∑j∣⟨ui,vj⟩∣2qj>0. The overlap weights in each row sum to one, so concavity of log⁡ gives ∑j∣⟨ui,vj⟩∣2log⁡qj≤log⁡ri, with equality only when all qj having positive overlap in that row are equal. Also −log⁡(ri/wi)≥1−ri/wi, with equality only at ri=wi. Consequently D(ρ∥σ)≥∑i:wi>0wilog⁡(wi/ri)≥∑i:wi>0(wi−ri)≥0, because ∑iwi=1 and ∑i:wi>0ri=Tr⁡(σPsupp⁡ρ)≤1. Together with step 2.1 this proves the claimed free-energy inequality. If D=0, all inequalities are equalities. Strictness of the scalar inequality gives ri=wi; equality in strict concavity of log⁡ means ui lies in one eigenspace of σ, so σui=wiui. The sum of the ri is then one, so Tr⁡(σ(I−Psupp⁡ρ))=0. In an orthonormal basis of that finite complement every diagonal quadratic form of σ is nonnegative and their sum is zero, so each vanishes. Its positive square root therefore annihilates that basis and the entire complement. For every v in that orthogonal complement, this gives ∥σ1/2v∥2=⟨σv,v⟩=0, hence σv=0; therefore σ has no support outside supp⁡ρ. Together with σui=wiui, this proves ρ=σ. Conversely ρ=σ gives D=0.

4.1A1step 1.1algebra∎

For ρ=σ, step 1.1 gives S(σ)=−kBTr⁡(σlog⁡σ)=kB(log⁡Z+βTr⁡(σH)). Substitution of T=(kBβ)−1 and Fβ=−β−1log⁡Z gives Fβ=Tr⁡(σH)−TS(σ), as stated.

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